Greg Isenberg’s Step-By-Step Blueprint To Building A Successful AI Business — Transcript
Full transcript
- 0:00So, I'll give you the playbook of if I
- 0:03was starting an AI company, here's how I
- 0:05would do it.
- 0:06How do you decide what companies to
- 0:08either invest in or build with this
- 0:11whole narrative that these AI companies
- 0:14don't have a moat?
- 0:15I think it's wrong. We started a
- 0:16business that is going to do two to
- 0:18three million dollars of free cash flow
- 0:21without raising one cent from anyone
- 0:22else, and it was all using this
- 0:25framework.
- 0:27Hey, welcome to the Next Wave podcast.
- 0:29My name is Matt Wolf. I'm here with my
- 0:30co-host Nathan Lands, and we've got an
- 0:33excellent show for you today. So, in the
- 0:35AI world, you've probably heard a lot
- 0:37that AI businesses have no moat. It's
- 0:39really, really difficult to create a new
- 0:41business in the world of AI when
- 0:43everybody can create similar businesses.
- 0:45Well, on today's show, we've got Greg
- 0:47Eisenberg, and Greg has a completely
- 0:50different idea about how this is all
- 0:52going to play out. In fact, he gave us a
- 0:54step-by-step roadmap, a playbook on how
- 0:58you can build a successful business in
- 1:00this current world of AI. So, let's go
- 1:02ahead and just dive in with Greg now.
- 1:05Greg Eisenberg, thanks for joining us
- 1:07here today.
- 1:08It's a dream come true.
- 1:09This is going to be fun. I mean, right
- 1:10now we're in this this era where AI is
- 1:13sort of taking over all of the news
- 1:15cycles, and everything has AI baked into
- 1:18it. Even all the products that don't
- 1:19seem like they need AI have AI baked
- 1:22into them. And you're doing some amazing
- 1:24stuff with AI, so it just it seems like
- 1:25a good fit for you to be one of our
- 1:27first early guests on this show and and
- 1:29talk about where all of this is headed.
- 1:31The interesting thing about AI is
- 1:33everyone from your barber to Jeff Bezos
- 1:36is interested in AI.
- 1:38Yeah.
- 1:39I recently got a haircut, and my barber
- 1:41was kept asking me about different AI
- 1:43tools that he was using. He wanted my
- 1:46feedback on it. And what Nathan and I
- 1:48actually have in common is I think I
- 1:50tweeted something about AI, and he
- 1:52tweeted something about AI, and then
- 1:54within 24 hours, Jeff Bezos both
- 1:56followed us on Twitter.
- 1:57And then Matt also got followed off of
- 1:59that.
- 1:59Yeah, we're all in an exclusive Jeff
- 2:00Bezos follows us club now.
- 2:02Yeah, yeah. So we got we got to finally
- 2:04message him and actually get him to come
- 2:05on or do something with all of us, so.
- 2:07That's right.
- 2:08So Greg, how do you see the holding
- 2:11company concept? How do you decide what
- 2:13companies to either invest in or build
- 2:16with this whole narrative that these AI
- 2:19companies don't have a moat, knowing
- 2:21that almost any company out there can
- 2:24use some of these existing resources to
- 2:27build the same software you're building?
- 2:29How is the approach to what companies to
- 2:31invest in or build?
- 2:33So there's this narrative that if you're
- 2:35building on top of OpenAI, ChatGPT, or
- 2:39this wrapper, that you have no moat and
- 2:42therefore you haven't built any value.
- 2:44And I think it's wrong. I think it's
- 2:46wrong. Because if you think of ChatGPT
- 2:48and OpenAI, what is it? It's basically
- 2:51an amalgamation of the craziest amount
- 2:54of worldwide data in one place. It's
- 2:56it's it's incredible. It's like a
- 2:58trillion times the uh great library in
- 3:02Alexandria. Maybe even more.
- 3:05And
- 3:06I think that uh what people don't get
- 3:08is, you know what's another little
- 3:10startup that is a thin wrapper around
- 3:12the world's information? Uh it's Google.
- 3:15Google doesn't create any of the
- 3:18content. They are a wrapper around the
- 3:21internet, but they point people to pages
- 3:24within the internet. And it's the
- 3:26greatest business model of all time. You
- 3:29know, even today, you know, it's a
- 3:31trillion-dollar company, if you look at
- 3:33their financial statements, a huge chunk
- 3:35of their business still comes from
- 3:36Google Search. I also think that there's
- 3:40this great unbundling of ChatGPT that is
- 3:43happening. Now, what unbundling is,
- 3:46there's a great quote, I think Jim
- 3:47Barksdale said it, there's two ways to
- 3:49make money. You're either unbundling or
- 3:52you're bundling.
- 3:53And what that means is, what does
- 3:55unbundling mean? Unbundling means, you
- 3:58know, if you look at Craigslist,
- 4:00Craigslist was a marketplace for
- 4:02everything. You had the ability to post
- 4:04a job. That became indeed.com.
- 4:07You had the ability to, you know, find a
- 4:11mate. And that became, you know, Tinder
- 4:14and and what Match is doing. Basically,
- 4:17on the internet, you can't really be
- 4:19everything everyone.
- 4:21So, there's going to be a huge
- 4:23opportunity to look at what are the
- 4:25different use cases on the horizontal
- 4:27platforms
- 4:28like ChatGPT and what OpenAI is doing.
- 4:31And basically, think about how can I
- 4:34apply a community-first approach,
- 4:37create what you might call as a thin
- 4:39wrapper, but what I call is
- 4:42this is dope. I don't have to rebuild
- 4:44everything from scratch.
- 4:45And and just focus on a particular use
- 4:50case. Now, I want to give one quick
- 4:51example to that. I forget the name of
- 4:54the founder of pdf.ai. And
- 4:57when ChatGPT introduced this idea around
- 5:00you can now talk with a PDF, basically,
- 5:03everyone basically assumed that this
- 5:05guy's {quote} thin wrapper was going to
- 5:08go to zero. And what he noticed is that
- 5:10revenue actually didn't really go down.
- 5:13A lot more people now knew about
- 5:15ChatGPT. There was news about it. They
- 5:17knew that you can use PDFs. And he had a
- 5:20purpose-built
- 5:21business focused on it. So, I think
- 5:24you're going to see more of like the PDF
- 5:26AI stories than you are going to see
- 5:28other stories.
- 5:29Yeah, I've always thought the critique
- 5:31on like the thin wrapper thing was kind
- 5:33of Like, I don't know like it
- 5:35it doesn't make a lot of sense to me.
- 5:35Like, like almost every company on the
- 5:37internet's relying on something. I mean,
- 5:39at one level or not. I'm like, even
- 5:40everybody's relying on the internet.
- 5:41You're right. You know, where I think
- 5:43the community approach that you're doing
- 5:45makes a lot of sense It's probably a
- 5:47really unique advantage is that with the
- 5:50new AI tools and especially let's say
- 5:52GPT 5 comes out and it's even way more
- 5:54impressive than GPT 4, we're going to
- 5:56get to a point where you're going to be
- 5:58able to look at a a SaaS website and
- 6:00say, "Hey GPT 5, go build that for me.
- 6:03Make my own version for me." That might
- 6:05be like a year away. And if you have a
- 6:07brand and a community people who trust
- 6:09you, like you, I think they'll keep
- 6:11doing business with you. Whereas if
- 6:12you're just like a soulless company that
- 6:15doesn't have that, I think you're at a
- 6:16great disadvantage in this next wave.
- 6:19Uh yeah, I want to expand on that cuz I
- 6:21don't think a lot of people are talking
- 6:22about like the marketing community angle
- 6:25to these products. Yeah. For the longest
- 6:27time people were saying that energy
- 6:30drinks were actually a saturated market.
- 6:33And then out of nowhere, what's like the
- 6:35best performing stock of the last 12
- 6:36months or one of the best is Celsius
- 6:39Holdings. And you know, it's like a $15
- 6:42billion company. It's a energy drink
- 6:45that they're they originally targeted
- 6:47women. Cuz in their research and
- 6:49insight, they noticed that if you look
- 6:50at like Monster Energy and all these
- 6:53you know, energy drinks, it was very
- 6:54like male-dominated. Now, what's the
- 6:57difference from a formula perspective of
- 7:00a Monster versus like a Bang or
- 7:03whatever? Like probably not that
- 7:05different. Same with beer. You know,
- 7:08what's the difference between
- 7:09you know, a Miller Lite and a Coors
- 7:11Light? Now, a lot of people listening
- 7:14are going to be like, "No, I'm a Miller
- 7:16I'm a Miller I'm a Miller girl or Miller
- 7:18guy or I'm a Coors Light guy."
- 7:21But that's identity playing into it. And
- 7:23you you've in your identity, you're
- 7:25like, "I'm that type of person." And I
- 7:26think you're going to see that
- 7:27identity-based consumption model happen
- 7:30with AI startups, too. Like I'm not I'm
- 7:33a Gemini person. I'm not a ChatGPT
- 7:35person.
- 7:36Was it pdf.ai?
- 7:38What what would be some like advice you
- 7:40would give to that company as as far as
- 7:42like building a community around it. How
- 7:43do you build a community around a tool
- 7:45that essentially just helps you
- 7:47understand PDFs better?
- 7:49Yeah. Well, I think that the issue with
- 7:52pdf.ai is it's niche, not what I call
- 7:55super niche.
- 7:56So,
- 7:58step one is your horizontal, you have no
- 8:00niche, you're chat GPT. Step two is your
- 8:02niche, you're you've picked like PDF as
- 8:06your category. And then step three is
- 8:08micro niche, which is like your PDF for
- 8:10lawyers.
- 8:11Your PDF for accountants.
- 8:14What I would be doing is be focusing on
- 8:16the community piece if I was him. What
- 8:18are the different communities that need
- 8:21PDFs the most? And trying to retrofit it
- 8:24for those people cuz those people, like
- 8:26accountants or lawyers for example, will
- 8:29have a set of pain points that are going
- 8:31to be different than me or you just cuz
- 8:34we're we're different. And also they
- 8:36just might just trust you more if it's
- 8:38called legal PDF as well, which is like
- 8:41the the beer example. They might just
- 8:43trust you because they like the name,
- 8:45which also is an a thing that not many
- 8:47people talk about in startups, which is
- 8:49names actually pay a
- 8:51and you know this, Nathan.
- 8:54Yeah.
- 8:55Mr. Lawyer, but names actually pay a
- 8:58bigger role in how people actually
- 9:01connect with products than people like
- 9:03to think.
- 9:04Yeah, totally. I think you're right.
- 9:06Like especially like in the age of AI,
- 9:07that's going to matter more and more.
- 9:09Like having a name and a brand that
- 9:10people trust and they feel connected to
- 9:12so they keep going back and doing
- 9:13business with that company versus the
- 9:16random company that just, you know,
- 9:17sprouted up out of nowhere and just
- 9:19copied you with AI.
- 9:20You you bring up a good point around if
- 9:22if everyone could basically press the
- 9:24duplicate button. Yeah. Like how do we
- 9:26think about building companies in that
- 9:28in that world? It's a a really good
- 9:30point. I've thought about it a lot and I
- 9:31think that
- 9:32you know, the good side of it by the way
- 9:34is that it's going to be really easy to
- 9:36spin things up. Yeah.
- 9:38You can You can see a viral tweet and
- 9:39then be like, "Wow, this is really
- 9:40cool." And you can be living in like Sri
- 9:42Lanka, and you can be 14 years old, and
- 9:44you can press the duplicate button, and
- 9:46then you can like, you know, pay for X
- 9:49blue, and you you show up, and you
- 9:50reply, and you get a million downloads.
- 9:52Like, your life could could change
- 9:54overnight.
- 9:54Yeah. The downside of the of that coin
- 9:57is that competition is going to 100X.
- 10:01Like, the amount of software that's
- 10:02going to be created is going to be 10 to
- 10:04100X minimum.
- 10:06Just like you saw that in content land
- 10:08with tools like Tik Tok. You know, I was
- 10:11an advisor to Tik Tok for a few years,
- 10:14and it was crazy seeing the amount of
- 10:16content, you know,
- 10:18just I mean, you see it. I'm sure you've
- 10:20seen played with Tik Tok. Like, there's
- 10:21the amount of content on all these
- 10:23platforms, Tik Tok, YouTube,
- 10:25Instagram. You give people easier tools
- 10:28to create things, they're going to
- 10:29create things. So, that's what's going
- 10:30to happen. I'd love to talk about you
- 10:32guys, like, how would you navigate this
- 10:34world where everyone's given the
- 10:36duplicate button?
- 10:37Well, I mean, Greg, that's that's a big
- 10:39reason like I thought you'd be a great
- 10:40guest on the show, honestly, is cuz like
- 10:42I think your approach is right on. Like,
- 10:44you're building a personal brand. I
- 10:45think in the age of AI, that's really
- 10:47important. You're an actual person.
- 10:49People like you, and you can leverage
- 10:51that across various companies that you
- 10:52build. So, I think that that approach is
- 10:55right on. The community aspect, having
- 10:57people involved in the actual product,
- 10:59so they like you, and and and they feel
- 11:00engaged, and actually you adjust the
- 11:02product based on feedback and and
- 11:04talking with them. I think it's huge.
- 11:06And also, you've got the Innovation
- 11:07Agency as well, right? That's another
- 11:09one where like Yeah, in this new age,
- 11:11like, companies have to be thinking
- 11:12about, "Oh, I don't just have this one
- 11:14product, and people are going to use
- 11:15this same product for 100 years."
- 11:17Somebody may come and copy it, and they
- 11:19and they, you know, I think that I have
- 11:21a better brand, but maybe all of a
- 11:22sudden they're cool, everybody switches
- 11:23over,
- 11:25you know? And so, you have to be you
- 11:26have to continue innovating and trying
- 11:27new things. And I I think the companies
- 11:29that are really going to be the big
- 11:31companies in the next, you know, 100
- 11:32years are the ones that build innovation
- 11:34into their company and they're
- 11:36constantly innovating and spinning out
- 11:37new projects.
- 11:38So, I I run this site called Future
- 11:40Tools, which, you know, it it curates
- 11:42all of the latest AI tools that um that
- 11:44come out. There's a submission form on
- 11:46the site where people submit their tools
- 11:49to me. I review them with a team of a
- 11:51couple extra people, and this the tools
- 11:53that I think are cool make it onto the
- 11:55site. So, I'm truly trying to curate
- 11:56now. The problem that I tend to have is
- 11:59that
- 12:00every single day 13 of the exact same
- 12:02tool pops onto the site, right? Almost
- 12:04every single day I'm like, this I I I
- 12:06see a tool that's like, here is your AI
- 12:08copywriter. Use this to write your sales
- 12:11copy for your business. Here's an AI
- 12:13blog writer. Every single day there's
- 12:15like 11 of those submitted to the point
- 12:18where I can't even tell the difference,
- 12:20and a lot of times it's like a
- 12:21completely different company, but I
- 12:23swear I've seen that site, that UI, that
- 12:25that page before. And so, um
- 12:28you know, from the perspective I'm in,
- 12:30where I'm seeing all these tools being
- 12:31submitted to me, it feels like uh this
- 12:34this AI world has kind of gotten to a
- 12:36place where everybody is just kind of
- 12:38already cloning everything else. Oh,
- 12:40that tool worked, let's clone it.
- 12:41Somebody else clones it. Somebody else
- 12:42clones it. It gets to a point where, you
- 12:45know, the the the first movers, the the
- 12:48the ones that put out the product first
- 12:50are still the ones that people talk
- 12:51about, but then there's just like a
- 12:53whole bunch of junk that followed behind
- 12:55it. So, I do think that being an early
- 12:58mover is important, but then I also
- 13:01think about that the sort of big
- 13:02incumbents, right? You've got the the
- 13:04Googles, the Adobes, the Microsofts,
- 13:06companies like that. And
- 13:09you know, I feel like we might be moving
- 13:11into this world where whenever something
- 13:13works really, really well as a small
- 13:15SaaS company, one of those big companies
- 13:17is either just going to acquire it or
- 13:19build it in, and then wipe out pretty
- 13:22much everybody else that was doing that
- 13:24already. I mean, we were talking even
- 13:25before we hit record about uh the new
- 13:28open AI video model. It's like when that
- 13:31gets released to the public in a single
- 13:33day, that's already better than Runway,
- 13:35than Pika, than animate diffusion, all
- 13:38of that stuff. There's already a better
- 13:40option out there. So now, you know, what
- 13:42what do we do with those now?
- 13:44So, I'll give I'll give you and and
- 13:46folks listening the playbook of if I was
- 13:49starting an AI company, here's how I
- 13:51would do it.
- 13:53And I'll use an example that we've done
- 13:56and it has worked. Like I can finally
- 13:59say it's worked. We started a business,
- 14:01an AI-powered business that is going to
- 14:04do two to three million dollars of free
- 14:05cash flow without raising one cent from
- 14:08anyone else.
- 14:09And it was all using this framework. So,
- 14:12the business is called
- 14:13boringmarketing.com.
- 14:14We started off as a Twitter account,
- 14:17literally. Anyone could sign up for a
- 14:18Twitter account. It's free. More or
- 14:20less.
- 14:21And we I called it @boringmarketer.
- 14:25And we created a character
- 14:27behind this idea around, you know,
- 14:29people talk about boring businesses, but
- 14:31not that many people talk about boring
- 14:33marketing. So you start Step one is you
- 14:35you build a character. You You start
- 14:37with a character that people are going
- 14:38to connect with or maybe you are that
- 14:41character. Like maybe like for me like I
- 14:43like being that character, you know? Or
- 14:45or Nathan likes being that character.
- 14:47So, we just started like talking about
- 14:49boring ways to grow your internet
- 14:51business. People kept asking us about
- 14:54SEO, SEO, SEO. And then we looked at the
- 14:57market and we realized that there was an
- 15:00opportunity to create AI-assisted tools
- 15:04to do SEO. So we started using those AI
- 15:08tools on our own products. That's
- 15:09another benefit of having a holding
- 15:11company. You can basically you have this
- 15:12portfolio of companies that could dog
- 15:14food your product. The good news of it
- 15:17is we knew that people wanted it cuz
- 15:18they were telling us that they wanted
- 15:20it. We built this community of about
- 15:2310,000 people and then we took that
- 15:26those AI tools, we wrapped it around a
- 15:28service agency to to help people
- 15:31implement and create content and and
- 15:34people started seeing results. It
- 15:36started driving word of mouth. So now
- 15:38all of a sudden like fast forward like
- 15:40that you know, it hit a seven figure run
- 15:42rate within four or five months and now
- 15:44it's it's it's a really profitable
- 15:45engine and and now we're moving towards
- 15:48like by the time this is out like
- 15:50boringads.com
- 15:51will be out.
- 15:53No brand is attached to a lot of this.
- 15:54Like it is is the that sort of quick run
- 15:57rate, is it because you sort of had a a
- 15:59springboard with your own personal brand
- 16:01or do you think it's due to the the
- 16:03merits of the products themselves?
- 16:04Like I'm just going on boring marketer
- 16:06right now, the Twitter account, you
- 16:07know, 100, 200, 300 likes per tweet. And
- 16:11this is boring SEO stuff, right? Like
- 16:15What What a cool thing about having, you
- 16:17know, one personal brand with a few
- 16:19thousand people, you can kind of like
- 16:22give seed capital, kind of like you
- 16:24know, social capital to another account
- 16:27and be like, "Hey, like I just started
- 16:29boring at boring marketer, check it
- 16:31out."
- 16:31Yeah.
- 16:32That gets the first two or three
- 16:33thousand followers and then from that
- 16:35you try to get it to a point where it's
- 16:37like, you know, it starts off as a baby
- 16:39and then gets to a toddler and then a
- 16:41child and then now it's like an adult.
- 16:43So I think how helpful was it for me to
- 16:46be behind it initially? Helpful. But do
- 16:49I think it like you know, my take on
- 16:52Twitter specifically is anyone can get
- 16:55to 10,000 followers if you just set up
- 16:58tweet notifications and write thoughtful
- 16:59replies.
- 17:01So you could have done that. You could
- 17:02have started at boring marketer. It
- 17:04probably would have taken you four
- 17:05months to get there. I was able to do it
- 17:07in four days, but I don't think that
- 17:10should be a stopping point for people
- 17:11who want to do something like this.
- 17:13I wanted to talk about like the agency
- 17:15business model. I know that was one of
- 17:17the the notes that we had, Nathan, that
- 17:19we wanted to dive into. Do like agencies
- 17:22still exist several years down the road?
- 17:24I mean, if if we can if you know, chat
- 17:27GPT becomes our our consultant and we
- 17:31can prompt any website into existence in
- 17:34a year or two from now?
- 17:36I think low to mid-level agencies get
- 17:40commoditized to basically
- 17:42nothing or very little. So, you're
- 17:45right. In a world where you can just
- 17:47prompt something to create a website or
- 17:49a landing page or
- 17:51you know, a marketing video. Like of
- 17:53course, you know,
- 17:54that's tough. And I think there's
- 17:56millions of people who work in that
- 17:57space that are that's tough. Like it is
- 18:00a tough place to be. You know, do I
- 18:01think that, you know, McKinsey's going
- 18:04anywhere or Bain or IDEO or, you know,
- 18:08we have a an innovation agency where we
- 18:11work with Fortune 500s and and some
- 18:13fast-growing startups with like Jasper
- 18:15AI and people like that. Do I think
- 18:17we're going anywhere on the innovation
- 18:19side? Absolutely not. People forget that
- 18:22you need taste. Yeah.
- 18:24Like taste is going to be the most
- 18:27sought-after
- 18:28a skill set for the next, you know, at
- 18:31least 10 years, whereas, and this is
- 18:33somewhat controversial, I think
- 18:34engineering was the most sought-after
- 18:36skill set of the last 10 years. And I'm
- 18:38a I can say that as like I studied
- 18:40computer science. Like I'm a trained
- 18:42engineer, you know? But I think that if
- 18:44you're able to if you have good taste
- 18:46and you know how to prompt and you know
- 18:47how to come up with, you know, great
- 18:50ideas. I'll give you an example. Like we
- 18:53we came up with a really big idea for a
- 18:55Fortune 100 company
- 18:56to shift their entire business. If
- 18:58you're the CEO of that company, you're
- 19:00not just going to like prompt an idea
- 19:02generator to do that. You're going to
- 19:04want to outsource that thinking to
- 19:06someone that you can trust. And that's
- 19:07where taste comes in, right? Like
- 19:10So, I think that yeah, good get me taste
- 19:12on
- 19:12Yeah.
- 19:12You got to
- 19:13Another sort of example along the same
- 19:15lines is right I've got a YouTube
- 19:17channel.
- 19:18All of my thumbnails for my YouTube
- 19:20channel are created with AI. I've got
- 19:21like an AI model with my face trained
- 19:23into it. You know, I I use midjourney
- 19:25for backgrounds. I actually still have a
- 19:28thumbnail designer on my team. He uses
- 19:31AI for me because he knows what
- 19:33thumbnails look better than I do, right?
- 19:36So he can actually use these tools
- 19:38Dolly, the stable diffusion, midjourney.
- 19:41And I mean I can create amazing images
- 19:43with those. He creates really amazing
- 19:45thumbnails, pulls them all together, and
- 19:47still has a much better design eye than
- 19:49I have. So I still hire somebody to use
- 19:52AI for me to make the thumbnails.
- 19:54Yeah. Yeah, but I think one thing there
- 19:56though is like, you know, a lot of grunt
- 19:58work I think will be kind of replaced
- 20:00with this, all right? It's like your the
- 20:02guy who's making the thumbnails, he has
- 20:03great taste. But if it was somebody who
- 20:04was doing something just very repetitive
- 20:07without a lot of thought put into it or
- 20:08you know, required taste, a lot of that
- 20:11is going to get automated away.
- 20:12Yeah, and I think in a lot of ways too,
- 20:14it you know, what you were saying it
- 20:15sort of levels the playing field as
- 20:17well. So yes, there's going to be like
- 20:20non-skilled people that might struggle a
- 20:22little bit, but those people in that
- 20:23sort of middle-class realm, they also
- 20:26have these tools at their disposal to
- 20:29sort of take them to the next level. If
- 20:31you want to learn how to code, it's
- 20:32easier than ever right now to learn how
- 20:34to code. If you want to learn how to be
- 20:35really good at graphic design, it's
- 20:37easier than ever to learn how to be
- 20:39really good at graphic design. So I feel
- 20:41like the people that are sort of in that
- 20:43middle lower end, I know this is like a
- 20:45buzzword, but it sort of democratized
- 20:47the information to to get you there,
- 20:49right? Like now it's a lot easier to go
- 20:51from zero to one with the tools that are
- 20:54available out there.
- 20:55I think those people are at a
- 20:57crossroads. Like they can either see the
- 20:59knowledge and see the tools and be like,
- 21:01I'll get to you later, or they can get
- 21:04their hands dirty. Mhm.
- 21:06kind of convinced this stuff's going to
- 21:07get you know, 20 to 50% better every
- 21:10year for the next 5 years. So, that's
- 21:12that's coming soon that this is going to
- 21:13be able to help you plan out
- 21:15your life in like an action plan of
- 21:17things you could be doing to make your
- 21:18life better. So, I I think that's going
- 21:20to be such an unlock for so many people.
- 21:23There there's this sort of narrative
- 21:24going on. We were talking about the, you
- 21:25know, AI video generators. Like OpenAI
- 21:28just came out with theirs. And there's
- 21:29this narrative that I just absolutely
- 21:31hate that I see all over Twitter that's
- 21:33like, "Oh, it's the end for directors.
- 21:35Oh, it's the end for filmmakers. Look
- 21:37what you can do now." And I I can't
- 21:39stand that narrative. I don't like the
- 21:40narrative of anytime somebody goes on
- 21:42Twitter and makes a blanket statement
- 21:44of, "This AI is killing this industry."
- 21:46What I feel right now is that it levels
- 21:50the playing field, but it also sort of
- 21:53raises the playing field. It makes
- 21:54everybody that is
- 21:56sort of making videos, making art sort
- 21:59of up-level their game because now what
- 22:02used to be something people thought was
- 22:03really good, now anybody can do it. So,
- 22:06the people that were good at that now
- 22:08need to up their game and get even
- 22:10better at that thing because pretty much
- 22:12everybody can do the original thing. And
- 22:14so, I feel like that is kind of what
- 22:17we're what we're seeing right now,
- 22:19especially with like AI video and AI
- 22:21image creation, is just this this
- 22:24leveling the playing field for what used
- 22:26to be considered good, but also raising
- 22:28the bar for what is really amazing now.
- 22:30And I feel like it gives creatives, like
- 22:33the the video creators, the art
- 22:35creators, superpowers, right? Like if
- 22:37you're really, really good at art and
- 22:39now you have AI at your disposal to make
- 22:41art even better, you're still going to
- 22:44be ahead of the game of the person who
- 22:45just learned AI art.
- 22:47So, yeah, let's let's talk about that.
- 22:49So,
- 22:50Sora, which is the model I think you're
- 22:53you're talking about, is really
- 22:54interesting cuz you can essentially
- 22:56prompt it to create, let's just say I
- 22:58wanted to create an animation film. And
- 23:02I'm right now I think it's only up to 1
- 23:03minute 1 minute of film, but I'm I'm
- 23:05sure in the future you'll be get access
- 23:08to 90 minutes.
- 23:09And I wanted to create a film that
- 23:11essentially was like a Disney a Disney
- 23:14film
- 23:15but with my own script. Like that is in
- 23:17the realm of possibility in the future.
- 23:19So if anyone could be a Walt Disney
- 23:22basically
- 23:23and you you you can make that assumption
- 23:26if you have good ideas, right? If going
- 23:27back to the taste thing, you know you
- 23:29have good taste and you can write well
- 23:31and you have the skills to do that
- 23:33then what is mispriced? The mispriced
- 23:35piece is the distribution.
- 23:38The only place that you can't compete
- 23:40with Disney is in distribution.
- 23:42They're in tens of thousands of movie
- 23:44theaters or hundreds of thousands of
- 23:46movie theaters across the world. They
- 23:47are on Netflix. Like they've done these
- 23:49deals. They're taking out Super Bowl
- 23:51ads, stuff like that, right? So that's
- 23:54where I think that people are mispricing
- 23:56creators and they're mispricing
- 23:59distribution in general. So if I'm
- 24:03listening to this and if I'm me too like
- 24:05and and I'm you like the thing to do is
- 24:08two things. One is you build a
- 24:11distribution lane.
- 24:13So you do everything you can to build as
- 24:15much distribution and credibility and
- 24:18trust as possible.
- 24:20And then the other lane
- 24:22is playing is the best way to describe
- 24:26it. Like you play with the tools and you
- 24:28play to learn. But you have to pick you
- 24:31can't just be like I'm going to be the
- 24:33video person and the audio person and
- 24:35then the writer person and then you have
- 24:37to like pick a lane also, right? Like
- 24:39you have to decide like oh my dream is
- 24:42to build
- 24:43is to be the next Walt Disney example.
- 24:45I spent a little bit of time in
- 24:46Hollywood. So for like a about a year
- 24:48and a half I was partner with Barry
- 24:49Osborne. I think Greg maybe I told you a
- 24:51little bit about this, but we you know
- 24:52lord.com originally the reason I bought
- 24:54the fancy domain
- 24:56is cuz I was you know I was partner with
- 24:57the producer of Lord of the Rings. I was
- 24:58like, we're going to make this new kind
- 25:00of movie studio together and it was this
- 25:01crazy dream of mine. And so I got to
- 25:03spend time on the the set of Mulan out
- 25:06in New Zealand, you know, Disney set and
- 25:08got to meet all these crazy people out
- 25:10in Hollywood, New Zealand. And but one
- 25:12thing you realize is it's so hard to
- 25:13break into that industry, right? And
- 25:15like you really have to know people and
- 25:17things like that and it does feel like
- 25:18with this new technology like so many
- 25:20more people are going to get discovered
- 25:22cuz they can they can show they can show
- 25:24their concepts to Netflix or whoever,
- 25:26right? Like right now the people who
- 25:27pitch Netflix, they're coming in with
- 25:29storyboards and things like that and a
- 25:31team and and that's a big part of what
- 25:33sales sales it is like the storyboard
- 25:35and like the concept and the research
- 25:37around it and before people you had to
- 25:40have a whole team to do that and now
- 25:41like somebody who has good taste they
- 25:43can have those ideas, produce the
- 25:45storyboards or a short video concept.
- 25:48Maybe not maybe that's not that's not
- 25:49going to be the final film, but they can
- 25:51produce them 1 minute or 90 minute video
- 25:54and say, "Hey, here's not the final
- 25:55film, but here you get the the gist of
- 25:57it. Here's the gist of this idea I have.
- 26:00Help me make it." And I think a lot of
- 26:01people are like Netflix will write
- 26:03checks like large checks to come in and
- 26:05produce those films. And so that's going
- 26:07to be exciting for so many people.
- 26:08So you think that like AI video is the
- 26:10new storyboard instead of making a
- 26:12storyboard? Here's just a mock of the
- 26:14video.
- 26:14I think there's so many opportunities
- 26:15around that. I think I think you're
- 26:17you're going to see like talent agencies
- 26:18too where they'll like, you know,
- 26:20they'll they'll pitch the studios with
- 26:21their talent and like just put our
- 26:23talent's face into the concept like
- 26:25here's how this you know, this guy that
- 26:26we have, girl, this is how they would
- 26:28look in this role and then you just show
- 26:29it, you know. There's like so many areas
- 26:31entertainment that's going to get
- 26:32changed from this, yeah.
- 26:33I also think that the leverage that
- 26:35you're going to have with the Netflixes
- 26:37of the world is going to be oh, I've got
- 26:4050,000 or 100,000 followers and I've
- 26:44already
- 26:45posted this IG clip or whatever and I
- 26:49got 20,000 shares and they're loving it
- 26:52and they're they're banging on the door,
- 26:53and they want more of it.
- 26:54Yeah.
- 26:55So, I think that's why I always go back
- 26:56to the distribution piece, cuz like I
- 26:58think that that if everyone has the
- 27:00ability to create essentially these
- 27:02Disney-style like levels of films and
- 27:05and and storyboards, like it's going to
- 27:07be you have to have some point of
- 27:09leverage.
- 27:10Yeah, I mean, when you look at like the
- 27:11the music industry and even like the the
- 27:13book industry, right? Among authors,
- 27:15when you go to get like a publishing
- 27:16deal for books, or if you go to get like
- 27:19a you know, a music production deal from
- 27:21these these music studios, that's kind
- 27:24of the thing they're looking at these
- 27:25days is how big of a following do you
- 27:26have, right? It's a heck of a lot easier
- 27:29to get a book publishing deal if you
- 27:30have a million subscribers on YouTube
- 27:32and, you know, a 1.5 million followers
- 27:35on X. You know, it sounds like that
- 27:38might be the future of video as well. If
- 27:40the sort of creation of video is
- 27:42completely democratized and anybody can
- 27:44make them, that's sort of the the next
- 27:46level is what sort of distribution do
- 27:47you bring to the table on your existing
- 27:49platforms? That's a I think that's a
- 27:52really interesting way to to look at it
- 27:53if I'm interpreting what you're saying,
- 27:54right?
- 27:55Yes. I mean, you saw that a little bit
- 27:56with music, you know, 10, 15, 20 years
- 27:59ago even. When YouTube came out, like
- 28:01Justin Bieber in was a YouTube creator.
- 28:04You know, we didn't call him that, but
- 28:05he posted videos on YouTube. He was
- 28:07found by Scooter Braun on YouTube, and
- 28:10then he became
- 28:12Justin Bieber, one of the biggest acts
- 28:15in the world, musical acts in the world,
- 28:16from YouTube. We don't have that really
- 28:19with
- 28:20movies, for example. Like the way you
- 28:23become big in movies is you go on a more
- 28:25traditional path.
- 28:27Like you go to USC and study film, and
- 28:30then you get an internship at, you know,
- 28:33you know, XYZ, you know, I don't even
- 28:35know, cuz I don't know the film
- 28:36business, but I know all I know from
- 28:38what I hear is that it's it's a very
- 28:40linear path, and you get like here's
- 28:41like you have to like check the boxes.
- 28:44What this does is there's only two boxes
- 28:47to check. Do you know the tools and do
- 28:49you have distribution is what I'm
- 28:50saying.
- 28:51And you can use the tools to get
- 28:52distribution too is the beautiful thing,
- 28:54right? Like you could be somebody in
- 28:56Quebec you whatever like in a small town
- 28:58who starts producing films or or AI art
- 29:01or whatever on Twitter and get an
- 29:02audience and then go out and try to take
- 29:05the next level and and actually, you
- 29:06know, partner with some big company to
- 29:07actually make it.
- 29:08Absolutely. I also think this is kind of
- 29:11a
- 29:12little bit of a different topic, but I
- 29:14think there's a huge opportunity to
- 29:16create content for different geographies
- 29:19Mhm.
- 29:20and languages and cultures.
- 29:22Yes.
- 29:23I'm interested to see how AI plays a
- 29:24role in that.
- 29:26So that like you're not just lip dubbing
- 29:28different videos for example. Like what
- 29:30if in France you're wearing like a beret
- 29:32or something and you know, in
- 29:36and and then the video in the US maybe
- 29:38you're not wearing a beret, right?
- 29:39You're you're wearing a baseball cap or
- 29:40something like that. Just like what are
- 29:42these little nuances things that you can
- 29:44add to the content
- 29:46so that it feels more oh, this is for
- 29:49me.
- 29:50This is for people like me and I think
- 29:53that's really interesting and I think
- 29:54that the greater trend to that is
- 29:57all media will be personalized.
- 29:59I think that's the really cool part
- 30:01about where we are in like the cycle in
- 30:03the this AI world. It's like
- 30:06it's not just an AI world. It's like
- 30:08there's a lot of mac massive trends
- 30:11happening right now like AI uh
- 30:14virtual reality
- 30:15Yep.
- 30:16Robotics is just starting as well and
- 30:17yeah.
- 30:18Robotics is just starting. I saw
- 30:20YC came out with their like here's the
- 30:23things that we're really interested I
- 30:24don't know if you saw that.
- 30:25Yeah, I saw it yesterday.
- 30:26Yeah, it's like you know, applying
- 30:28machine learning to robotics using
- 30:29machine learning to stimulate the
- 30:30physical world, new defense technology,
- 30:33bring manufacturing back to America, new
- 30:35space companies, climate tech
- 30:37Yeah.
- 30:37commercial open source companies,
- 30:39spatial computing, new enterprise
- 30:41resource planning software, developer
- 30:43tools inspired by existing internal
- 30:45tools, explainable AI, LLMs for manual
- 30:49back office processes in legacy
- 30:51enterprises, AI to build enterprise
- 30:53software, stablecoin finance, a way to
- 30:56end cancer, foundation models for
- 30:58biological systems, the managed service
- 31:00organization model for health care,
- 31:02eliminating middlemen in health care,
- 31:04better enterprise grew, and finally
- 31:07small fine-tuned models as an
- 31:09alternative to giant generic ones.
- 31:11There's a lot of stuff going on.
- 31:12And and and people were saying that part
- 31:14of that whole list was oh, well, you
- 31:16know, it's the end of the trend with SAS
- 31:18or something like this. I
- 31:20I think YC's like seeing the writing on
- 31:21the wall that like dramatic changes are
- 31:24coming. Like dramatic changes. And so
- 31:26yeah, we should be looking for more
- 31:27moonshots, big things, and and and it
- 31:29now the technology is making it
- 31:30possible. But also from a, you know,
- 31:32probably from their perspective from a
- 31:34in in investment stand standing I like
- 31:37the companies that they would have
- 31:39invested in before, a lot of those now
- 31:41probably be built with like one or two
- 31:42people. And they're not going to need as
- 31:44much capital, you know, and and Greg you
- 31:45talk a lot about this kind of stuff, but
- 31:47so I think they're looking like, okay,
- 31:48yeah, you
- 31:49investors and VCs are probably going to
- 31:51focus more and more on the companies
- 31:52that are really going to need a lot of
- 31:53caps.
- 31:54Right.
- 31:54People that are trying to solve cancer,
- 31:55people are trying to build robotics, and
- 31:57things like this, and like new type, you
- 31:59know, simulating the world with AI, like
- 32:01like very ambitious things that are
- 32:02going to require lots of capital because
- 32:05the other ones just like, God, it's not
- 32:06going to be a year or two. And
- 32:08especially, you know, I've been hearing
- 32:10from friends in San Francisco and a lot
- 32:11of them are like connected to the whole
- 32:12YC kind of network. Really positive
- 32:15things about GPT-5.
- 32:17I assumed, you know, since, you know,
- 32:19Sam Altman's connection to YC, a lot of
- 32:21those people know
- 32:22ideas of what's coming. And so they're
- 32:24probably realizing like, yeah, in a year
- 32:26or two from now, a lot of those simple
- 32:28SAS tools, if you don't have great
- 32:29distribution or a a brand, they're not
- 32:32going to make a whole lot of sense. And
- 32:33so I think that's part of the list, too.
- 32:34Is is that
- 32:35Like personally, I'm happy that people
- 32:37are working on those hard problems, but
- 32:39I personally prefer working on easy
- 32:42problems.
- 32:42The one to n or or whatever versus zero
- 32:44to one?
- 32:45Yeah.
- 32:45Yeah, I think it's like I'm a thin
- 32:48wrapper guy.
- 32:50And I've I've I'm I did the whole
- 32:52Silicon Valley thing. I lived 9 years
- 32:54there. I've been a part of companies
- 32:56that have raised billions of dollars.
- 32:57Like I could say I did it. But man, am I
- 33:00glad to be on the other side.
- 33:02Yeah.
- 33:03And yeah. And and and creating thin
- 33:06wrappers
- 33:07with deep communities. Like that should
- 33:09be the title of this this Something like
- 33:12that. It's like thin wrappers and deep
- 33:14communities. Like that's the strategy
- 33:15for You want to win in AI? Like that's
- 33:17literally the strategy.
- 33:18But before we do wrap up, I do want to
- 33:20ask about you probably need a robot.
- 33:22Could you quickly explain that to me
- 33:24because I was asking Nathan about it and
- 33:27you know, I figured the the best person
- 33:29to ask about it and get the explanation
- 33:31from is from Greg himself. So could you
- 33:33tell me a little bit about what that is?
- 33:34I start all businesses with this
- 33:36framework of mine. We call it the ACP
- 33:38funnel. Audience, community, product.
- 33:41So like I was talking about with boring
- 33:42marketing, we started with the Twitter
- 33:43account. We did the same thing with you
- 33:46probably need a robot. This is like over
- 33:48a year ago. Yeah, over a year ago.
- 33:51AI obviously wasn't as big as what it is
- 33:53today.
- 33:54And we created a Twitter account where
- 33:57we just share productivity tips with
- 34:00like we use this tool and here's what we
- 34:02learned. And then we opened up a
- 34:03Discord.
- 34:05And then we got like 20,000 people to
- 34:07join the Discord. Uh maybe more, 25,000.
- 34:11And we saw that there was demand. And
- 34:13then we
- 34:15of those people, we turned it into a
- 34:16newsletter. And then every week we would
- 34:18give people like deep dives around
- 34:20here's how we're using AI this week.
- 34:23So less of not like AI news or anything
- 34:25like that. But just like here's here's
- 34:28things that we're learning and
- 34:30to make it more productive in your
- 34:32business career. And it's it's evolved
- 34:35other things, too. Like we we created
- 34:37like a deal pass, which is very popular,
- 34:39where you get access like
- 34:4248
- 34:44bucks, and like you get, you know,
- 34:46discounts on like all the major AI
- 34:48tools, or a lot of them. Like My Mind,
- 34:51And Drip AI, Framer, and
- 34:54Fairly.ai, Apollo. Mhm. So, a lot of
- 34:57things like that. And so, we've been
- 34:59able to monetize really well through
- 35:00this like audience community product.
- 35:02Mhm.
- 35:03And then we also, you know, cuz we run a
- 35:05lot of agencies, we also do helping
- 35:07companies like transform their
- 35:08businesses to be AI first.
- 35:10The the reason I wanted to sh- Yeah, I
- 35:11just wanted to share that structure, cuz
- 35:13I think that that same structure, ACP,
- 35:15could be helpful for other people.
- 35:17Nathan, any anything else you want to
- 35:18you want to ask or add before we we wrap
- 35:20this up?
- 35:21Yeah, I I really appreciate you coming
- 35:22here, and it's it's been awesome.
- 35:23Thank you for your time, and I'm excited
- 35:25to see where this goes, and you you
- 35:27you're doing great.
- 35:28Appreciate it.
About this transcript
This page contains the full transcript of Greg Isenberg’s Step-By-Step Blueprint To Building A Successful AI Business by The Next Wave - AI and the Future of Technology, generated from the public captions YouTube serves with the video. The transcript has 7,059 words across 1,057 segments, with the original timestamps preserved so you can click any line to jump to that moment in the embedded player.
What you can do with it
Use the transcript to take notes, quote the speaker, build a study guide, generate a summary with ChatGPT or Claude via the YouTube Summary tool, or export it as a timed subtitle file with YouTube to SRT. You can also re-open it in the transcriber to translate the transcript into 100+ languages.
Free YouTube transcript tool
YouTube2Text is a free YouTube transcript generator — no signup, no daily limit. Paste any YouTube link and get the full transcript instantly, with timestamps, click-to-jump, translation to 100+ languages, AI prompts for ChatGPT, Claude, and Gemini, and exports to TXT, SRT, VTT, or Markdown.